Sökning: "Fast filtering"

Visar resultat 1 - 5 av 63 uppsatser innehållade orden Fast filtering.

  1. 1. Towards Performance Evaluation and Future Applications of eBPF

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Manideep Gunturu; Rohan Aluguri; [2024]
    Nyckelord :eBPF; XDP; Iptables; Filtering; Performance evaluation;

    Sammanfattning : Extended Berkeley Packet Filter (eBPF) is an instruction set and an execution environment inside the Linux kernel. eBPF improves flexibility for data processing and is realized via a virtual machine featuring both a Just-In-Time (JIT) compiler and an interpreter running in the kernel. LÄS MER

  3. 2. Implementing Kalman Filtering Algorithms for Estimating Clamp Force on a Test Rig : Testing the Power and Limitations of Unscented Kalman Filter-based Estimations

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Tim Naser; [2023]
    Nyckelord :Clamping Froce; Kalman Filtering; Unscented Kalman Filtering; Tightening; Consequence of User Errors During Tightening; Velocity Profiles; Klämkraft; Kalman Filtrering; Unscented Kalman Filtrering; Åtdragning; Konsekvens av Användarfel Under Åtdragning; Hastightersprofiler.;

    Sammanfattning : his study explores clamp force estimation using Unscented Kalman Filtering (UKF) in torque-controlled tightening scenarios with various velocity profiles. Previous research has explored the impact of velocity levels on target torque and clamping force, but only using hand-held tools. LÄS MER

  4. 3. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  5. 4. FPGA Accelerated Digital Image Correlation For Clamping Force Measurement

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :János Csanád Csuvarszki; [2023]
    Nyckelord :Digital image correlation; Field-programmable gate array; High-level synthesis;

    Sammanfattning : Digital image correlation is a contactless optical method used for displacement and strain measurement which has become increasingly popular in the field of experimental mechanics. A specialized use case for the algorithm is to measure the clamping force in bolted joints, a crucial metric when considering the longevity and reliability of the constructs. LÄS MER

  7. 5. Deep neural networks for food waste analysis and classification : Subtraction-based methods for the case of data scarcity

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :David Brunell; [2022]
    Nyckelord :Siamese network; convolutional neural network;

    Sammanfattning : Machine learning generally requires large amounts of data, however data is often limited. On the whole the amount of data needed grows with the complexity of the problem to be solved. Utilising transfer learning, data augmentation and problem reduction, acceptable performance can be achieved with limited data for a multitude of tasks. LÄS MER